 Mark Omernick
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b51cdf349f
Merge pull request #1252 from bogatyy/master
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 Ivan Bogatyy
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ce9504afc4
Fix Mac build: avoid duplicating TF symbols
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 Neal Wu
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a522760301
Add back the num_labels comment
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Neal Wu
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ea97e5c3a7
Change the train and validation shards to the correct amounts
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Neal Wu
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8b571b3a50
More fixes/clarifications for the README
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 Jimmy
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5d232350f1
delete extra line
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Jimmy
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989d08a358
fix script to match example
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Jimmy
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c766ef2753
update warning on extra background class added by build_image_data.py
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Ivan Bogatyy
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a24df8619d
Merge pull request #1249 from bogatyy/master
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Ivan Bogatyy
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296d4f65ee
Merge https://github.com/tensorflow/models
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Ivan Bogatyy
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9a463f1e8f
Fix links to download Parsey models
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Ivan Bogatyy
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277f99c7c1
Merge pull request #1243 from bogatyy/master
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Ivan Bogatyy
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ea3fa4a338
Update DRAGNN, fix some macOS issues
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Neal Wu
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f7cea8d01b
Rename sampled_loss argument inputs to logits in preparation for named arguments requirement
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Neal Wu
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e4cbe9ee31
Fix the argument order for tf.nn.sampled_softmax_loss in textsum
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Neal Wu
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dcb49d91f9
Update README.md
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 Daniël de Kok
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26bf7ce968
SyntaxNet does not compile, because isnan is unknown. (#1229)
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Neal Wu
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f6e23e5618
Revert "add 'reuse' parameter to RNNCells to make code compatible with tensorflow master code"
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Ivan Bogatyy
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b7523ee562
Merge https://github.com/tensorflow/models
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Neal Wu
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2c6d74b736
Change wording: repository -> folder
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Neal Wu
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b81d98bf3b
Remove message telling users to install from nightly builds now that 1.0 has been released
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 Joshua Howard
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aef35824f4
Removed external dependencies from autoencoder models
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Neal Wu
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79d2ecb102
Revert "fixed a bug in sampled_loss(), made compatible for 0.12.0"
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 talkdirty
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3607bf489a
Fix Links in Readme.md
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talkdirty
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061491460d
Readme.md: Fix Image displayment
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 Emil Stenström
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0de0e850e9
Make table valid markdown
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Neal Wu
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08bf19d263
Formatting/style fixes
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 jtran064
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ce1628a5af
move exception message to caller loop and skip currupted files
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jtran064
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bde7ddfba8
output more meaningful error messages
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 robrao
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92d751b4a9
correct tf.summary.scalar illegal name `learning rate`
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